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» Effectively Indexing the Uncertain Space
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DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
13 years 11 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
13 years 6 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
Salvatore Candido, James C. Davidson, Seth Hutchin...
RECOMB
2002
Springer
14 years 7 months ago
Provably sensitive Indexing strategies for biosequence similarity search
The field of algorithms for pairwisc biosequence similarity search is dominated by heuristic methods of high efficiency but uncertain sensitivity. One reason that more formal stri...
Jeremy Buhler
EDBT
2008
ACM
180views Database» more  EDBT 2008»
14 years 7 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
EDBT
2008
ACM
132views Database» more  EDBT 2008»
14 years 7 months ago
Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...
Yi Zhuang, Yueting Zhuang, Qing Li, Lei Chen 0002,...